BACKGROUND Genomic selection (GS) is emerging as an efficient and cost-effective method for estimating breeding values using molecular markers distributed over the entire genome. In essence, it involves estimating the simultaneous effects of all genes or chromosomal segments and combining the estimates to predict the total genomic breeding value (GEBV). Accurate prediction of GEBVs is a central...

Conventional seismic techniques for detecting the subsurface geologic features are challenged by limited data coverage, computational inefficiency, and subjective human factors. We developed a novel data-driven geological feature detection approach based on pre-stack seismic measurements. Our detection method employs an efficient and accurate machine-learning detection approach to extract usefu...

Conformal prediction is a method of producing prediction sets that can be applied on top of a wide range of prediction algorithms. The method has a guaranteed coverage probability under the standard IID assumption regardless of whether the assumptions (often considerably more restrictive) of the underlying algorithm are satisfied. However, for the method to be really useful it is desirable that...

We study a decomposition-based scalable approach to performing kernel ridge regression. The method is simple to describe: it randomly partitions a dataset of size N into m subsets of equal size, computes an independent kernel ridge regression estimator for each subset, then averages the local solutions into a global predictor. This partitioning leads to a substantial reduction in computation ti...

Statistics practitioners have been depending on the ordinary least squares (OLS) method in linear regression model for generation because of its optimal properties and simplicity calculation. However, OLS estimators can be strongly affected by existence multicollinearity which is a near dependency between two or more independent variables model. Even though presence estimate still remained unbi...

Wheat dominates the Australian grain production market and accounts for 10–15% of world’s 100 million tonnes annual global wheat trade. Accurate yield prediction is critical to satisfying local consumption increasing exports regionally globally meet human food security. This paper incorporates remote satellite-based information in a wheat-growing region South Australia estimate by integrating k...

De-duplication Matlab's unique function was used for de-duplicating reviews – each row that appeared more than once was reduced to a single occurrence. This technique can produce some false positives in the case that the same word frequencies occurred in legitimately distinct reviews (since the order of the tokens is not considered), but the chances of this occurring was considered improbable e...

In this paper, we investigate a divide and conquer approach to Kernel Ridge Regression (KRR). Given n samples, the division step involves separating the points based on some underlying disjoint partition of the input space (possibly via clustering), and then computing a KRR estimate for each partition. The conquering step is simple: for each partition, we only consider its own local estimate fo...